• DocumentCode
    88334
  • Title

    A Fast Contingency Screening Technique for Generation System Reliability Evaluation

  • Author

    Yanbing Jia ; Peng Wang ; Xiaoqing Han ; Jianyan Tian ; Singh, Chaman

  • Author_Institution
    Coll. of Electr. & Power Eng., Taiyuan Univ. of Technol., Taiyuan, China
  • Volume
    28
  • Issue
    4
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    4127
  • Lastpage
    4133
  • Abstract
    In most existing reliability evaluation techniques, the stopping rules applied for contingency enumeration are either a given number of states with the highest probabilities or the states up to a specified failure order. However, the probability of a high order outage state may be larger than that of a low order outage state due to different reliabilities of the failed components. On the other hand, a low probability state with high outage capacity may have larger impact on system reliability than a high probability state with low outage capacity. These effects have not been considered in the existing techniques for contingency filtering or screening. A fast contingency screening technique (FCST) for generation system reliability evaluation is proposed in this paper. In this technique, contingency states are searched and ranked based on the severity coefficients determined by both state probabilities and outage capacities of the failed units. Several severity coefficients for a unit are defined and examined based on reliability and capacity factors. The replaceable neighboring states of a state and the minimum set of the neighboring states are defined to further reduce computation time. The merits of the proposed techniques and severity coefficients are validated by evaluating the East-China Power Grid.
  • Keywords
    power generation reliability; probability; East-China power grid; FCST; capacity factors; fast contingency screening technique; generation system reliability evaluation; outage capacities; reliability factors; replaceable neighboring states; severity coefficients; state probabilities; Available generation capacity; contingency screening; generation system reliability; state selection;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2013.2263534
  • Filename
    6523187